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  1. Models
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Llama 3.3 70b Instruct

Llama 3.3 is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks.

  • Tool Calling
  • Structured Output

Added Feb 27, 2025

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.05
Output
$0.23
Cache read
$0.025
Compare provider prices

Specifications

Context window
131.1K
Max output
16.4K
Parameters
70B

Benchmarks

Sourced from LMArena.

Arena Score

1318.1

Overall Rank

#269 / 421

Votes

54,482

Confidence Interval

1314.6 - 1321.6

Category Scores

Coding

#282 / 416

8,730 votes

1345.7

Math

#259 / 404

5,777 votes

1295.6

Longer Query

#279 / 399

8,325 votes

1313.6

Creative Writing

#262 / 419

8,043 votes

1285.3

Instruction Following

#278 / 421

18,777 votes

1292.6

Hard Prompts

#273 / 421

16,957 votes

1320.8

Additional Categories
22

Polish

#207 / 244

1,454 votes

1318.9

French

#231 / 301

574 votes

1326.9

Japanese

#232 / 288

1,170 votes

1214.4

German

#235 / 320

1,222 votes

1290.1

Industry Legal And Government

#241 / 393

3,154 votes

1342.5

Spanish

#241 / 303

634 votes

1304.4

Korean

#244 / 289

856 votes

1215.9

Industry Medicine And Healthcare

#245 / 390

2,728 votes

1342.9

English

#256 / 421

29,249 votes

1343.8

Industry Life And Physical And Social Science

#256 / 419

9,351 votes

1340.8

Multi Turn

#259 / 419

9,058 votes

1316.8

Industry Entertainment And Sports And Media

#261 / 419

9,709 votes

1284.9

Industry Mathematical

#262 / 401

5,236 votes

1301.7

Hard Prompts English

#268 / 419

9,543 votes

1336.6

Exclude Ties

#269 / 421

36,729 votes

1261.8

Expert

#271 / 371

2,916 votes

1297.9

Industry Business And Management And Financial Operations

#274 / 414

6,625 votes

1303.7

Russian

#275 / 385

5,711 votes

1294.5

Industry Writing And Literature And Language

#276 / 420

13,800 votes

1291.4

Industry Software And It Services

#282 / 421

14,849 votes

1337.7

Non English

#284 / 421

25,231 votes

1283.8

Chinese

#292 / 395

3,676 votes

1293.4

Published 2026-11-09 · Matched as Llama 3.3 70B Instruct · CC BY 4.0

LMArena Dataset

Leaderboard results

BenchmarkScoreRank on NanoGPT
Epoch AI Benchmarking Hub

Epoch AI data, CC BY 4.0 · Updated Nov 13, 2026

GPQA Diamond

47.4%

#114 of 119

OTIS Mock AIME 2024–2025

5.1%

#120 of 121

UGI Leaderboard

UGI Leaderboard data, Apache-2.0 · Updated Oct 16, 2026

UGI Score

37.9

#80 of 149

UGI Willingness

4.0

#60 of 149

UGI Writing

26.2

#135 of 149

Filtered and ranked to models on NanoGPT.

Providers

Choose or restrict providers with the API. Provider-selection prices include the selection markup. Provider selection guide · Pricing API (JSON, USD per 1K tokens)

Auto
Auto (ZDR)
$0.05$0.23$0.025N/AN/A
Auto
Auto (Anonymized)
$0.05$0.23$0.025N/AN/A
DeepInfra
DeepInfra
FP8
US
$0.105$0.336N/AN/AN/A
Akash
Akash
FP8
GLB
$0.21$0.546$0.105N/AN/A
Parasail
Parasail
FP8
US
$0.231$0.525$0.116N/AN/A
Cloudflare
Cloudflare
FP8
US
$0.308$2.37N/AN/AN/A
Groq
Groq
US
$0.619$0.829$0.31N/AN/A
SambaNova
SambaNova
US
$0.63$1.26N/AN/AN/A
CoreWeave
CoreWeave
FP16
US
$0.746$0.746$0.746N/AN/A
IONOS
IONOS
EU
$0.746$0.746N/AN/AN/A
Google Vertex
Google Vertex
US
$0.756$0.756N/AN/AN/A
Tinfoil
Tinfoil
TEE verified
US
$1.84$2.89N/AN/AN/A
Privacy:ZDR, prompts not retainedNo training on prompts
Batch API
ProviderInputOutputCached input
Auto
Autometa-llama/llama-3.3-70b-instruct
$0.05/M$0.23/M$0.025/M

Batch rows for this model use normal routing and cost the same as standard API requests. Set provider in a row to choose a provider.

Related text models

Compare Llama 3.3 70b Instruct with similar models from the same provider or model family.

Llama 3.1 8b Instruct

meta-llama/llama-3.1-8b-instruct

Fast and efficient for simple purposes.

Llama 3.2 3b Instruct

meta-llama/llama-3.2-3b-instruct

Small model optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization

Llama 4 Maverick

meta-llama/llama-4-maverick

Llama 4 Maverick, a 17 billion active parameter model with 128 experts, is the best multimodal model in its class, beating GPT-4o and Gemini 2.0 Flash across a broad range of widely reported benchmarks, while achieving comparable results to the new DeepSeek v3 on reasoning and coding—at less than half the active parameters. Llama 4 Maverick offers a best-in-class performance to cost ratio with an experimental chat version scoring ELO of 1417 on LMArena.

Llama 4 Scout

meta-llama/llama-4-scout

Llama 4 Scout, a 17 billion active parameter model with 16 experts, is the best multimodal model in the world in its class and is more powerful than all previous generation Llama models, while fitting in a single H100 GPU. Additionally, Llama 4 Scout offers an industry-leading context window of 10M and delivers better results than Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1 across a broad range of widely reported benchmarks.

Llama 3 70B abliterated

failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5

An abliterated (removed restrictions and censorship) version of Llama 3.1 70b.

Llama 3.3 70B Instruct abliterated

huihui-ai/Llama-3.3-70B-Instruct-abliterated

An abliterated (removed restrictions and censorship) version of Llama 3.3 70b.